app.py

import gradio as gr
from fastai.vision.all import *
import timm

model = open("conv_export.pkl", "rb")
# cat = open("../animals/Inference Images/cat.jpg", "rb")
# lion = open("../animals/Inference Images/Lion_waiting_in_Namibia.jpg", "rb")
#dolphin = open("./images/download.jpg", "rb")

#img = PILImage.create(dolphin)

learn = learn = load_learner(model)

labels = learn.dls.vocab

def predict(img):
    img = PILImage.create(img)
    pred,pred_idx,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

gr.Interface(fn=predict, inputs="image", outputs="label").launch(share=True)